Modeling climate change impacts on phenology and population dynamics of migratory marine species

被引:99
作者
Anderson, James J. [1 ]
Gurarie, Eliezer [1 ]
Bracis, Chloe [2 ]
Burke, Brian J. [3 ]
Laidre, Kristin L. [1 ,4 ]
机构
[1] Univ Washington, Sch Aquat & Fishery Sci, Seattle, WA 98195 USA
[2] Univ Washington, Seattle, WA 98195 USA
[3] NOAA, Natl Marine Fisheries Serv, NW Fisheries Sci Ctr, Seattle, WA 98112 USA
[4] Univ Washington, Appl Phys Lab, Polar Sci Ctr, Seattle, WA 98105 USA
关键词
Climate change; Migratory marine species; Modeling; Phenology; Adaption; Phenotypic plasticity; TUNA THUNNUS-THYNNUS; SALMON ONCORHYNCHUS-TSHAWYTSCHA; PHENOTYPIC PLASTICITY; ENVIRONMENTAL-CHANGE; ECOLOGICAL RESPONSES; OCEANIC DISTRIBUTION; ENVELOPE MODELS; SITE FIDELITY; EVOLUTION; JUVENILE;
D O I
10.1016/j.ecolmodel.2013.03.009
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
We review literature concerning the impacts of climate change on the migration of marine species, with an emphasis on the adaptation of migration phenology through genetic tracking and phenotypic plasticity. We then develop an individual-based modeling framework characterizing the effects of climate change on phenology and population dynamics. In the framework, an animal's ability to match its environmental preferences, its bioclimate envelope, to the environmental conditions by adjusting its migration timing between foraging and breeding habitats determines its condition, survival, and fecundity. Climate-induced changes in the envelope produce timing mismatches that result in a population adapting its phenology through both genetic and plastic processes. Model results suggest: (1) the temporal size of the bioclimate envelope is an important determinant of a population's sensitivity to climate change and susceptibility to extinction, (2) population extinction can occur if the rate of change in the timing of the envelope exceeds the rate its phenology changes or if the variability in the envelope exceeds the population's inherent capacity for variability, (3) a population with migration timing cued by photoperiod is expected to exhibit weaker phenotypic plasticity than one cued by temperature, and (4) population extinction in response to climate change follows a threshold pattern such that population size may not be a reliable indicator of extinction threat, although variability in average individual condition across years may be an extinction threat indicator. Finally, while the model is intentionally simplistic, we discuss how it can be extended to cover more complex interactions. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:83 / 97
页数:15
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